DebuggAI runs end-to-end tests without anyone writing test scripts. It explores the application the way a customer would, exercises the flows that matter – signup, login, checkout – and re-runs them on every code change, reporting pass or fail into the pull request with screenshots and a video replay of whatever broke. Setup is a one-click GitHub connection, claimed at two minutes.
The choice of target is what makes this worth attention. End-to-end tests are the ones teams genuinely do not write: they are slow to author, brittle to maintain, and the first thing dropped under deadline, which is why broken checkout flows reach production at companies with otherwise good unit coverage. A tool that produces them from exploration rather than from a specification is attacking the gap that actually exists. Video replay in the pull request is the right output too – a failed assertion tells you a test broke, a recording tells you what the user would have seen.
Two limits worth knowing before you rely on it. Generated tests assert what the application currently does, so a bug present when the tests were generated becomes the expected behaviour – this catches regressions well and existing defects not at all. And the free tier covers public repositories only, which for most commercial teams means the real entry point is Pro at $20 a month for 1,000 tests, or Grow at $40 for 5,000. No credit card is required to start.
